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Bayesian cross-validation (CV) is a popular method for predictive model assessment that is simple to implement and broadly applicable.
“Computing the distribution of quadratic forms in normal variables.”
Imhof, P. (1961) · 1961
Earlier work this paper cites.
“Numerical inversion of a characteristic function.”
Davies, R. B. (1973) · 1973
Earlier work this paper cites.
“The predictive sample reuse method with applications.”
Geisser, S. (1975) · 1975
Earlier work this paper cites.
“Macroeconomics and Reality.”
Sims, C. A. (1980) · 1980
Earlier work this paper cites.
“Statistical Theory: The Prequential Approach.”
Dawid, A. P. (1984) · 1984
Earlier work this paper cites.
“Entropy expressions and their estimators for multivariate distributions.”
Ahmed, N. A. and Gokhale, D. V. (1989) · 1989
Earlier work this paper cites.
“A comparative study of ordinary cross-validation, v-fold cross-validation and the repeated learning-testing methods.”
Burman, P. (1989) · 1989
Earlier work this paper cites.
Nonparametric Curve Estimation from Time Series
Györfi, L., Härdle, W., Sarda, P., and Vieu, P. (1989) · 1989
Earlier work this paper cites.
“Quadratic forms.”
Mathai, A. and Provost, S. B. (1992) · 1992
Earlier work this paper cites.
“A cross-validatory method for dependent data.”
Burman, P., Chow, E., and Nolan, D. (1994) · 1994
Earlier work this paper cites.
“Consistent cross-validatory model-selection for dependent data: hv-block cross-validation.”
Racine, J. (2000) · 2000
Cited alongside, same era.
“No unbiased estimator of the variance of K-fold cross-validation.”
Bengio, Y. and Grandvalet, Y. (2004) · 2004
Cited alongside, same era.
“Derivations for Linear Algebra and Optimization.”
Duchi, J. (2007) · 2007
Cited alongside, same era.
“Strictly Proper Scoring Rules, Prediction, and Estimation.”
Gneiting, T. and Raftery, A. E. (2007) · 2007
Cited alongside, same era.
Probability and measure
Billingsley, P. (2008) · 2008
Cited alongside, same era.
“Uncertainty in Bayesian Leave-One-Out Cross-Validation Based Model Comparison.”
Sivula, T., Magnusson, M., Matamoros, A. A., and Vehtari, A. (2020) · 2008
“A comparison of conditional autoregressive models used in Bayesian disease mapping.”
Lee, D. (2011) · 2011
Later among the works it cites.
“A survey of Bayesian predictive methods for model assessment, selection and comparison.”
Vehtari, A. and Ojanen, J. (2012) · 2012
Later among the works it cites.
“The Effective Sample Size.”
Berger, J., Bayarri, M. J., and Pericchi, L. R. (2014) · 2014
Later among the works it cites.
Bayesian data analysis
Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., and Rubin, D. B. (2014) · 2014
Later among the works it cites.
“A note on the validity of cross-validation for evaluating autoregressive time series prediction.”
Bergmeir, C., Hyndman, R. J., and Koo, B. (2018) · 2017
Later among the works it cites.
“Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC.”
Vehtari, A., Gelman, A., and Gabry, J. (2017) · 2017
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Cited alongside, same era.
“A review and comparison of four commonly used Bayesian and maximum likelihood model selection tools.”
Ward, E. J. (2008) · 2008
Cited alongside, same era.
“A survey of cross-validation procedures for model selection.”
Arlot, S. and Celisse, A. (2010) · 2010
Cited alongside, same era.
“Information inequalities for joint distributions, with interpretations and applications.”
Madiman, M. and Tetali, P. (2010) · 2010
Cited alongside, same era.
“On the use of cross-validation for time series predictor evaluation.”
Bergmeir, C. and Benítez, J. M. (2012) · 2011
Cited alongside, same era.
Later among the works it cites.
“Approximate leave-future-out cross-validation for Bayesian time series models.”
Bürkner, P. C., Gabry, J., and Vehtari, A. (2020) · 2020
Later among the works it cites.
Evaluating time series forecasting models: an empirical study on performance estimation methods
Cerqueira, V., Torgo, L., and Mozetic, I. (2020) · 2020
Later among the works it cites.
“The Neural Testbed: Evaluating Joint Predictions.”
Osband, I., Wen, Z., Asghari, S. M., Dwaracherla, V., Lu, X., Ibrahimi, M., Lawson, D., Hao, B., O’Donoghue, B., and Roy, B. V. (2022) · 2022
Later among the works it cites.
“Workflow Techniques for the Robust Use of Bayes Factors.”
Schad, D. J., Nicenboim, B., Bürkner, P. C., Betancourt, M., and Vasishth, S. (2022) · 2022
Later among the works it cites.